Upgrading Relational Legacy Data to eh Semantic Web

In this poster, we describe a framework composed of the R2O mapping language and the ODEMapster processor to upgrade relational legacy data to the Semantic Web. The framework is based on the declarative description of mappings between relational and ontology elements and the exploitation of such mapping descriptions by a generic processor capable of performing both massive and query driven data upgrade

Fund Finder: A case study of database-to-ontology mapping

The mapping between databases and ontologies is a basic problem when trying to "upgrade" deep web content to the semantic web. Our approach suggests the declarative definition of mappings as a way to achieve domain independency and reusability. A specific language (expressive enough to cover some real world mapping situations like lightly structured databases or not 1st normal form ones) is defined for this purpose. Along with this mapping description language, the ODEMapster processor is in charge of carrying out the effective instance data migration. We illustrate this by testing both the mappings definition and processor on a case study

R2O, an extensible and semantically based database-to-ontology mapping language

We present R2O, an extensible and declarative language to describe mappings between relational DB schemas and ontologies implemented in RDF(S) or OWL. R2O provides an extensible set of primitives with welldefined semantics. This language has been conceived expressive enough to cope with complex mapping cases arisen from situations of low similarity between the ontology and the DB models

Ozone Eliminates SARS-CoV-2 from Difficult-to-Clean Office Supplies and Clinical Equipment.

Background: Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) continues to cause profound health, economic, and social problems worldwide. The management and disinfection of materials used daily in health centers and common working environments have prompted concerns about the control of coronavirus disease 2019 (COVID-19) infection risk. Ozone is a powerful oxidizing agent that has been widely used in disinfection processes for decades. The aim of this study was to assess the optimal conditions of ozone treatment for the elimination of heat-inactivated SARS-CoV-2 from office supplies (personal computer monitors, keyboards, and computer mice) and clinical equipment (continuous positive airway pressure tubes and personal protective equipment) that are difficult to clean. (2) Methods: The office supplies and clinical equipment were contaminated in an area of 1 cm2 with 1 × 104 viral units of a heat-inactivated SARS-CoV-2 strain, then treated with ozone using two different ozone devices: a specifically designed ozonation chamber (for low–medium ozone concentrations over large volumes) and a clinical ozone generator (for high ozone concentrations over small volumes). SARS-CoV-2 gene detection was carried out using quantitative real-time polymerase chain reaction (RT-qPCR). (3) Results: At high ozone concentrations over small surfaces, the ozone eliminated SARS-CoV-2 RNA in short time periods—i.e., 10 min (at 4000 ppm) or less. The optimum ozone concentration over large volumes was 90 ppm for 120 min in ambient conditions (24 °C and 60–75% relative humidity). (4) Conclusions: This study showed that the appropriate ozone concentration and exposure time eliminated heat-inactivated SARS-CoV-2 RNA from the surfaces of different widely used clinical and office supplies, decreasing their risk of transmission, and improving their reutilization. Ozone may provide an additional tool to control the spread of the COVID-19 pandemic.TRUEInstituto de Salud Carlos III, Madrid, Spain, and by the European Regional Development Funds (FEDER)Fundación Canaria del Instituto de Investigación Sanitaria de Canarias (FIISC), Las PalmasFundación Mapfre Guanarteme, Las PalmasGobierno de Canarias, Las Palmaspu

Infraestructura tecnológica de servicios semánticos para la Web Semántica

This project aims at creating a network of distributed interoperable semantic services for building more complex ones. These services will be available in semantic Web service libraries, so that they can be invoked by other systems (e.g., semantic portals, software agents, etc.). Thus, to accomplish this objective, the project proposes: a) To create specific technology for developing and composing Semantic Web Services. b) To migrate the WebODE ontology development workbench to this new distributed interoperable semantic service architecture. c) To develop new semantic services (ontology learning, ontology mappings, incremental ontology evaluation, and ontology evolution). d) To develop technological support that eases semantic portal interoperability, using Web services and Semantic Web Services. The project results will be open source, so as to improve their technological transfer. The quality of these results is ensured by a benchmarking process. Keywords: Ontologies and Semantic We

Upgrading relational legacy data to the semantic web

In this poster, we describe a framework composed of the R 2O mapping language and the ODEMapster processor to upgrade relational legacy data to the Semantic Web. The framework is based on the declarative description of mappings between relational and ontology elements and the exploitation of such mapping descriptions by a generic processor capable of performing both massive and query driven data upgrade

Modelo para la definición automática de correspondencias semánticas entre ontologías y modelos relacionales

El trabajo contenido en esta tesis se centra en la asociación de semántica explícita basada en ontologías a fuentes de datos relacionales con la finalidad de llevar a cabo una explotación mejorada del contenido de dichas fuentes. Para ello se propone un marco integrado para el descubrimiento semiautomático, la expresión formal, la evaluación y la explotación de correspondencias semánticas entre ontologías y bases de datos relacionales. Dicho marco se apoyará en un modelo para la definición de correspondencias semánticas entre ontologías y modelos relacionales que se implementa en el lenguaje extensible y declarativo R2O. La explotación de las correspondencias se orienta a la generación de contenido semántico a partir del contenido de la base de datos -proceso mencionado en la literatura como enriquecimiento o upgrade-. Por último y para completar la visión global del proceso, se propone un algoritmo de descubrimiento semiautomático de correspondencias entre ontologías y esquemas relacionales basado en las hipótesis de correlación léxico-semántica y de confinamiento basado en patrones. Abstract The work contained in this PhD thesis focuses on the association of explicit semantics based on ontologies with relational data sources. The aim of such association is to enable enhanced exploitation of the content of the data sources. For that purpose, an integrated framework for the semiautomatic discovery, formal specification, evaluation and exploitation of the semantic correspondences between ontologies and database schemas is proposed. The framework can be split in three main components, namely: (1) a model for the specification of semantic correspondences between ontologies and relational schemas and its implementation in the extensible and declarative R2O language. (2) The exploitation of these correspondences focuses on the generation of semantic content from the database -process often referred to in literature as lift or upgrade-. And finally, (3) an algorithm for semiautomatic matching between ontologies and relational schemas based on the lexical-semantical correlation hypothesis and the pattern based confinement hypothesis completes the integrated view of the solution

Gender imbalance in doctoral education: an analysis of the Spanish university system (1977–2021)

Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.Doctoral education is a key feature of university systems, as well as a basic foundation of scientific practice. That period culminates in a dissertation and examination of the candidate that has been studied from several points of view. This paper reports the results of an analysis on the evolution and characteristics of gender imbalance of a complete doctoral system for a wide period of time. Data from the database Teseo was used in order to identify the individuals involved in the process, the scientific fields in which the dissertations where classified, and the institutions in which the examination took place. Results: the Spanish system shows a clear evolution towards gender balance, but also some concerning trends that are worth tracking. Seemingly, STEM disciplines look to be evolving more slowly than other branches of science in several aspects. A leaky pipeline is characterized in this system around the roles of supervisors, candidates, members and chairs of the dissertation committees. Gender assortativity is also studied and described, and its possible effects discussed around the academic relations that surround doctoral examination.CRUE-CSICSpringer NatureDepto. de Biblioteconomía y DocumentaciónFac. de Ciencias de la DocumentaciónTRUEpu

Systemic Effects Induced by Hyperoxia in a Preclinical Model of Intra-abdominal Sepsis

Supplemental oxygen is a supportive treatment in patients with sepsis to balance tissue oxygen delivery and demand in the tissues. However, hyperoxia may induce some pathological effects. We sought to assess organ damage associated with hyperoxia and its correlation with the production of reactive oxygen species (ROS) in a preclinical model of intra-abdominal sepsis. For this purpose, sepsis was induced in male, Sprague-Dawley rats by cecal ligation and puncture (CLP). We randomly assigned experimental animals to three groups: control (healthy animals), septic (CLP), and sham-septic (surgical intervention without CLP). At 18 h after CLP, septic (n=39), sham-septic (n=16), and healthy (n=24) animals were placed within a sealed Plexiglas cage and randomly distributed into four groups for continuous treatment with 21%, 40%, 60%, or 100% oxygen for 24 h. At the end of the experimental period, we evaluated serum levels of cytokines, organ damage biomarkers, histological examination of brain and lung tissue, and ROS production in each surviving animal. We found that high oxygen concentrations increased IL-6 and biomarkers of organ damage levels in septic animals, although no relevant histopathological lung or brain damage was observed. Healthy rats had an increase in IL-6 and aspartate aminotransferase at high oxygen concentration. IL-6 levels, but not ROS levels, are correlated with markers of organ damage. In our study, the use of high oxygen concentrations in a clinically relevant model of intra-abdominal sepsis was associated with enhanced inflammation and organ damage. These findings were unrelated to ROS release into circulation. Hyperoxia could exacerbate sepsis-induced inflammation, and it could be by itself detrimental. Our study highlights the need of developing safer thresholds for oxygen therapy